Developers release tools to capture and reuse AI agent corrections across platforms

Developers have released Shadowclone, a tool that reads coding-agent session history across Claude Code, Codex, Cursor, Pi, and Antigravity to identify user corrections and convert them into reusable skills loaded by agents in future sessions, according to GitHub and Enso Method. The tool targets the problem of agent training through negative feedback.

Developers release tools to capture and reuse AI agent corrections across platforms According to GitHub and Enso Method, Shadowclone reads coding-agent session history across Claude Code, Codex, Cursor, Pi, and Antigravity to identify user corrections and convert them into reusable skills loaded by agents in future sessions. The tool addresses the problem of agent training through negative feedback. Topics Sources - Official Read article https://github.com/theonly1me/shadowclone This intelligence is sourced automatically from public sources across the web and synthesised by the Prefactor AI pipeline. Stories are reviewed before publication.